Two different strategies have been considered when allocating memory in the GPUs for training: whether we considered a lower spatial resolution (256x448 pixel) and longer clips of 5 frames, or a higher spatial resolution (287x950) and shorter clips of 3 frames.
While the 287x950 definition matches the aspect ratio of the KITTI-MOTS dataset [1]}, the 256x448 one corresponds to the aspect ratio of the YouTube-VOS dataset [2]}, for which RVOS was originally trained.
